Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
日本語の概要は準備中です。原文の説明を表示しています。
Detects workflow failures and inefficient patterns then files GitHub issues. Use when a workflow step repeatedly fails or produces inconsistent output.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
superpowers:systematic-debugging)sanctum:workflow-improvement)Monitor workflow executions for errors and inefficiencies, automatically creating issues on the detected git platform (GitHub/GitLab) for improvements. Check session context for git_platform: and use Skill(leyline:git-platform) for CLI command mapping.
Workflows should improve over time. When execution issues occur, capturing them systematically enables continuous improvement. This skill hooks into workflow execution to detect problems and propose fixes.
# After a failed workflow
/workflow-monitor --analyze-last
# Monitor a specific workflow execution
/workflow-monitor --session <session-id>
# Analyze efficiency of recent workflows
/workflow-monitor --efficiency-report
When enabled, workflow-monitor observes execution and flags:
| Pattern | Signal | Severity |
|---|---|---|
| Command failure | Exit code > 0 | High |
| Timeout | Exceeded timeout limit | High |
| Retry loop | Same command >3 times | Medium |
| Context exhaustion | >90% context used | Medium |
| Tool misuse | Wrong tool for task | Low |
| Pattern | Signal | Threshold |
|---|---|---|
| Verbose output | >1000 lines from command | 500 lines recommended |
| Redundant reads | Same file read >2 times | 2 reads max |
| Sequential vs parallel | Independent tasks run sequentially | Should parallelize |
| Over-fetching | Read entire file when snippet needed | Use offset/limit |
workflow-monitor:capture-complete)workflow-monitor:analysis-complete)workflow-monitor:report-generated)workflow-monitor:issue-created)## Background
Detected during workflow execution on [DATE].
**Source:** [workflow name] session [session-id]
## Problem
[Description of the error or inefficiency]
**Evidence:**
[Command that failed or was inefficient] [Output excerpt]
## Suggested Fix
[What should change to prevent this]
## Acceptance Criteria
- [ ] [Specific fix criterion]
- [ ] Tests added for new behavior
- [ ] Documentation updated
---
*Created automatically by workflow-monitor*
# .workflow-monitor.yaml
enabled: true
auto_create_issues: false # Require approval before creating
severity_threshold: "medium" # Only report medium+ severity
efficiency_threshold: 0.7 # Flag workflows below 70% efficiency
detection:
command_failures: true
timeouts: true
retry_loops: true
context_exhaustion: true
tool_misuse: true
efficiency:
verbose_output_limit: 500
max_file_reads: 2
parallel_detection: true
auto_create_issues: trueworkflow-monitor:capture-completeworkflow-monitor:analysis-completeworkflow-monitor:report-generatedworkflow-monitor:issue-created (if issue created)imbue:proof-of-work: Captures execution evidencesanctum:fix-workflow: Implements suggested fixes## Workflow Efficiency Report
**Session:** [session-id]
**Duration:** 12m 34s
**Efficiency Score:** 0.72 (72%)
### Issues Detected
| Type | Count | Impact |
|------|-------|--------|
| Verbose output | 3 | Medium |
| Redundant reads | 2 | Low |
| Sequential tasks | 1 | Medium |
### Recommendations
1. Use `--quiet` flags for npm/pip commands
2. Cache file contents instead of re-reading
3. Parallelize independent file operations
### Create Issues?
- [ ] Issue 1: Verbose output from npm install
- [ ] Issue 2: Redundant file reads in validation
imbue:proof-of-work: Evidence capture methodologysanctum:fix-workflow: Workflow improvement commandStatus: Skeleton implementation. Requires:
capture-complete,
analysis-complete, report-generated, and (if an issue is
created) issue-createdgh issue list --search before
creating any issue; duplicate suppressed and existing issue
URL reported insteadまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
日本語の概要は準備中です。原文の説明を表示しています。
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
日本語の概要は準備中です。原文の説明を表示しています。
Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
日本語の概要は準備中です。原文の説明を表示しています。
Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
日本語の概要は準備中です。原文の説明を表示しています。
Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
日本語の概要は準備中です。原文の説明を表示しています。